Abstract. A two-population Genetic Algorithm for constrained optimization is exercised and analyzed. One population consists of feasible candidate solutions evolving toward optimal...
Background: Existing hidden Markov model decoding algorithms do not focus on approximately identifying the sequence feature boundaries. Results: We give a set of algorithms to com...
Numerical design optimization algorithms are highly sensitive to the particular formulation of the optimization problems they are given. The formulation of the search space, the o...
Thomas Ellman, John Keane, Takahiro Murata, Mark S...
A central issue in the design of modern communication networks is that of providing performance guarantees. This issue is particularly important if the networks support real-time t...
Reconstructing a physical map of a chromosome from a genomic library presents a central computational problem in genetics. Physical map reconstruction in the presence of errors is...
Suchendra M. Bhandarkar, Salem Machaka, Sanjay She...